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News/Security-Enhanced Seed-Based Weight Quantization for Large Language Models
arxiv
PublishedOctober 2, 2026 at 4:00 AM

Security-Enhanced Seed-Based Weight Quantization for Large Language Models

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arXiv:2609.38477v1 Announce Type: cross Abstract: Large language models (LLMs) incur substantial storage, memory-bandwidth and energy costs, motivating compact weight representations. Existing seed-based compression methods reconstruct weights from compact pseudo-random representations but do not ex

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